Instructions to use frett/chinese_paragraph_bert-ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frett/chinese_paragraph_bert-ext with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("frett/chinese_paragraph_bert-ext") model = AutoModelForMultipleChoice.from_pretrained("frett/chinese_paragraph_bert-ext") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a77b3138155713388d3f00d0c035970f06ad4a3c523f0fab8ad25556c6b0115
- Size of remote file:
- 409 MB
- SHA256:
- 5fa10ad02868f26735e4dc9fcdc4cd8ce727185d2a4631d5235af0143e1f8558
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